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Adaptive impulse detection using center-weighted median filters

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2 Author(s)
Tao Chen ; Sch. of Comput. Sci & Software Eng., Monash Univ., Clayton, Vic., Australia ; Hong Ren Wu

Previous median-based impulse detection strategies tend to work well for fixed-valued impulses but poorly for random-valued impulse noise, or vice versa. This letter devises a novel adaptive operator, which forms estimates based on the differences between the current pixel and the outputs of center-weighted median (CWM) filters with varied center weights. Extensive simulations show that the proposed scheme consistently works well in suppressing both types of impulses with different noise ratios.

Published in:

Signal Processing Letters, IEEE  (Volume:8 ,  Issue: 1 )

Date of Publication:

Jan. 2001

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